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Vietnamese Bronze Age GEDmatch results
HarappaWorld Admixture Proportions
Spoiler!
HarappaWorld Admixture Proportions
This utility uses the HarappaWorld model, created by Zack. Questions and comments about this model
should be directed to him at harappa@zackvision.com or to his HarappaWorld blog.
We appreciate him making this excellent tool available here.
Kit Number: Z284320 Elapsed Time: 8.53 seconds
Population
S-Indian 0.85
Baloch -
Caucasian -
NE-Euro 1.22
SE-Asian 61.25
Siberian -
NE-Asian 30.15
Papuan 0.27
American 1.83
Beringian 0.22
Mediterranean 1.49
SW-Asian -
San -
E-African -
Pygmy -
W-African 2.73
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
86334 SNPs used in this evaluation
Oracle
Spoiler!
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
HarappaWorld Oracle results:
23 April 2013 - Oracle reference population percentages revised.
Kit Z284320
Admix Results (sorted):
# Population Percent
1 SE-Asian 61.25
2 NE-Asian 30.15
3 W-African 2.73
4 American 1.83
5 Mediterranean 1.49
6 NE-Euro 1.22
7 S-Indian 0.85
8 Papuan 0.27
9 Beringian 0.22
Single Population Sharing:
# Population (source) Distance
1 kinh (1000genomes) 5.78
2 dai-chinese (1000genomes) 8.15
3 vietnamese (xing) 8.96
4 dai (hgdp) 9.97
5 lahu (hgdp) 10.42
6 khmer-cambodian (xing) 17.41
7 thai (xing) 21.7
8 cambodian (hgdp) 23.9
9 singapore-malay (sgvp) 26.89
10 miao (hgdp) 37.29
11 burmanese (chaubey) 37.69
12 iban (xing) 38.13
13 singapore-chinese (sgvp) 39.28
14 garo (chaubey) 40.72
15 she (hgdp) 41.59
16 chinese (xing) 41.93
17 khasi (chaubey) 41.95
18 han-chinese-south (1000genomes) 42.99
19 han (hgdp) 43.39
20 samoan (xing) 43.44
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 91.2% dai-chinese (1000genomes) + 8.8% dominican (bryc) @ 3.18
2 91.4% dai-chinese (1000genomes) + 8.6% puerto-rican (1000genomes) @ 3.85
3 91.6% dai-chinese (1000genomes) + 8.4% colombian (1000genomes) @ 3.92
4 92.1% dai-chinese (1000genomes) + 7.9% siddi (reich) @ 4.2
5 92.7% dai-chinese (1000genomes) + 7.3% fulani (henn2012) @ 4.23
6 95.2% kinh (1000genomes) + 4.8% dominican (bryc) @ 4.25
7 96.2% kinh (1000genomes) + 3.8% african-american (1000genomes) @ 4.34
8 90% dai-chinese (1000genomes) + 10% uyghur (hgdp) @ 4.37
9 95.9% kinh (1000genomes) + 4.1% fulani (henn2012) @ 4.39
10 92.1% dai-chinese (1000genomes) + 7.9% morocco-s (henn2012) @ 4.4
11 92.3% dai-chinese (1000genomes) + 7.7% mexican (1000genomes) @ 4.41
12 95.3% kinh (1000genomes) + 4.7% puerto-rican (bryc) @ 4.42
13 96.6% kinh (1000genomes) + 3.4% african-caribbean (1000genomes) @ 4.42
14 92.5% dai-chinese (1000genomes) + 7.5% ecuadorian (bryc) @ 4.47
15 96.8% kinh (1000genomes) + 3.2% mandenka (hgdp) @ 4.49
16 96.9% kinh (1000genomes) + 3.1% hausa (henn2012) @ 4.49
17 96.9% kinh (1000genomes) + 3.1% bambaran (xing) @ 4.49
18 96.8% kinh (1000genomes) + 3.2% bamoun (henn2012) @ 4.49
19 96.9% kinh (1000genomes) + 3.1% brong (henn2012) @ 4.49
20 97% kinh (1000genomes) + 3% dogon (xing) @ 4.49
Oracle-4
Spoiler!
Kit Num: Z284320
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
HarappaWorld 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
23 April 2013 - Oracle reference population percentages revised.
Admix Results (sorted):
# Population Percent
1 SE-Asian 61.25
2 NE-Asian 30.15
3 W-African 2.73
4 American 1.83
5 Mediterranean 1.49
6 NE-Euro 1.22
Finished reading population data. 377 populations found.
16 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 kinh_1000genomes @ 5.996932
2 dai-chinese_1000genomes @ 8.427706
3 vietnamese_xing @ 9.401752
4 dai_hgdp @ 10.351540
5 lahu_hgdp @ 10.922866
6 khmer-cambodian_xing @ 18.765690
7 thai_xing @ 23.333330
8 cambodian_hgdp @ 25.466928
9 singapore-malay_sgvp @ 28.524153
10 miao_hgdp @ 39.430355
11 burmanese_chaubey @ 39.787594
12 iban_xing @ 40.249508
13 singapore-chinese_sgvp @ 41.541187
14 samoan_xing @ 41.631699
15 garo_chaubey @ 43.094196
16 she_hgdp @ 43.986607
17 chinese_xing @ 44.325916
18 khasi_chaubey @ 44.907265
19 tongan_xing @ 44.944721
20 han-chinese-south_1000genomes @ 45.452911
Using 2 populations approximation:
1 50% iban_xing +50% singapore-chinese_sgvp @ 4.951823
Using 3 populations approximation:
1 50% dai_hgdp +25% miao_hgdp +25% singapore-malay_sgvp @ 4.747690
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++
1 dai_hgdp + dai-chinese_1000genomes + miao_hgdp + singapore-malay_sgvp @ 4.744663
2 dai_hgdp + dai_hgdp + miao_hgdp + singapore-malay_sgvp @ 4.747690
3 dai_hgdp + dai_hgdp + singapore-chinese_sgvp + singapore-malay_sgvp @ 4.753100
4 dai_hgdp + dai-chinese_1000genomes + singapore-chinese_sgvp + singapore-malay_sgvp @ 4.825002
5 dai_hgdp + dai_hgdp + she_hgdp + singapore-malay_sgvp @ 4.827891
6 chinese_xing + dai_hgdp + dai_hgdp + singapore-malay_sgvp @ 4.839100
7 dai-chinese_1000genomes + dai-chinese_1000genomes + miao_hgdp + singapore-malay_sgvp @ 4.841175
8 cambodian_hgdp + dai_hgdp + dai_hgdp + miao_hgdp @ 4.855035
9 dai_hgdp + dai_hgdp + han-chinese-south_1000genomes + singapore-malay_sgvp @ 4.880833
10 dai_hgdp + dai_hgdp + han_hgdp + singapore-malay_sgvp @ 4.899159
11 iban_xing + iban_xing + miao_hgdp + singapore-chinese_sgvp @ 4.937726
12 cambodian_hgdp + vietnamese_xing + vietnamese_xing + vietnamese_xing @ 4.945870
13 singapore-malay_sgvp + vietnamese_xing + vietnamese_xing + vietnamese_xing @ 4.948862
14 iban_xing + iban_xing + singapore-chinese_sgvp + singapore-chinese_sgvp @ 4.951823
15 cambodian_hgdp + dai_hgdp + dai_hgdp + singapore-chinese_sgvp @ 4.959436
16 dai_hgdp + iban_xing + miao_hgdp + vietnamese_xing @ 4.960901
17 cambodian_hgdp + dai_hgdp + dai-chinese_1000genomes + miao_hgdp @ 4.964978
18 dai_hgdp + iban_xing + iban_xing + japanese_xing @ 4.971673
19 dai_hgdp + dai-chinese_1000genomes + she_hgdp + singapore-malay_sgvp @ 4.983876
20 dai-chinese_1000genomes + iban_xing + miao_hgdp + vietnamese_xing @ 4.984710
Done.
Elapsed time 14.1620 seconds.
Eurogenes EUtest V2 K15 Admixture Proportions
Spoiler!
Eurogenes EUtest V2 K15 Admixture Proportions
This utility uses the Eurogenes EUtest V2 K15 model, created by Davidski (Polako). Questions and comments about this model
should be directed to him at his Project Blog.
Kit Number: Z284320 Elapsed Time: 7.42 seconds
Population
North_Sea -
Atlantic 1.35
Baltic 0.84
Eastern_Euro -
West_Med -
West_Asian -
East_Med -
Red_Sea -
South_Asian 3.92
Southeast_Asian 86.38
Siberian 2.06
Amerindian 2.50
Oceanian 1.36
Northeast_African -
Sub-Saharan 1.59
Web site and contents ©Copyright 2011-2018 by GEDmatch, Inc.
Genealogy and DNA data remains the property of the submitter.
Each Admixture Proportions 'calculator' model remains the property of its developer.
83931 SNPs used in this evaluation
Oracle
Spoiler!
GEDmatch.Com Oracle
This version of GEDmatch Oracle is based on 'Oracle v1' by Dienekes Pontikos. His original program was developed as part of the Dodecad Ancestry Project. More information on Dienekes' orignal program can be found here.
Many thanks also to Zack Ajmal for helping us get this web version of Dienekes' Oracle program developed.
Eurogenes EUtest V2 K15 Oracle results:
Kit Z284320
Admix Results (sorted):
# Population Percent
1 Southeast_Asian 86.38
2 South_Asian 3.92
3 Amerindian 2.5
4 Siberian 2.06
5 Sub-Saharan 1.59
6 Oceanian 1.36
7 Atlantic 1.35
8 Baltic 0.84
Single Population Sharing:
# Population (source) Distance
1 Vietnamese 4.77
2 Dai 6.27
3 Lahu 9.05
4 She 12.63
5 Miaozu 13.56
6 Cambodian 13.85
7 Tujia 16.39
8 Malay 18.1
9 Yizu 27.54
10 Naxi 29.27
11 Tibeto-Burman_Burmese 31.74
12 Japanese 35.47
13 Tu 37.47
14 Xibo 50.3
15 Hezhen 52.06
16 Uygur 70.97
17 Hazara 75.99
18 Mongolian 76.29
19 Afghan_Hazara 78.8
20 Uzbeki 80.48
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 94.8% Dai + 5.2% MA-1 @ 2.9
2 95.7% Dai + 4.3% North_Amerindian @ 3.12
3 94.9% Dai + 5.1% West_Greenlander @ 3.15
4 96.2% Dai + 3.8% Mayan @ 3.28
5 95.2% Dai + 4.8% East_Greenlander @ 3.35
6 96.3% Dai + 3.7% Pima @ 3.38
7 96.4% Dai + 3.6% Anzick-1 @ 3.44
8 95.2% Dai + 4.8% Brahmin_UP @ 3.48
9 94.7% Dai + 5.3% Tadjik @ 3.49
10 93.2% Dai + 6.8% Uygur @ 3.49
11 95.1% Dai + 4.9% Punjabi_Jat @ 3.5
12 95.1% Dai + 4.9% Pathan @ 3.51
13 94.9% Dai + 5.1% Burusho @ 3.52
14 95% Dai + 5% Austrian @ 3.53
15 93.8% Dai + 6.2% Afghan_Hazara @ 3.53
16 94.8% Dai + 5.2% Tatar @ 3.54
17 95% Dai + 5% Croatian @ 3.54
18 95.2% Dai + 4.8% Sindhi @ 3.54
19 95% Dai + 5% Afghan_Pashtun @ 3.55
20 94.6% Dai + 5.4% Afghan_Uzbeki @ 3.55
Oracle-4
Spoiler!
Kit Num: Z284320
Threshold of components set to 1.000
Threshold of method set to 0.25%
Personal data has been read. 20 approximations mode.
Gedmatch.Com
Eurogenes EUtest V2 K15 4-Ancestors Oracle
This program is based on 4-Ancestors Oracle Version 0.96 by Alexandr Burnashev.
Questions about results should be sent to him at: Alexandr.Burnashev@gmail.com
Original concept proposed by Sergey Kozlov.
Many thanks to Alexandr for helping us get this web version developed.
Admix Results (sorted):
# Population Percent
1 Southeast_Asian 86.38
2 South_Asian 3.92
3 Amerindian 2.50
4 Siberian 2.06
5 Sub-Saharan 1.59
6 Oceanian 1.36
7 Atlantic 1.35
Finished reading population data. 207 populations found.
15 components mode.
--------------------------------
Least-squares method.
Using 1 population approximation:
1 Vietnamese @ 4.314429
2 Dai @ 5.848548
3 Lahu @ 8.409599
4 She @ 11.860476
5 Miaozu @ 12.740917
6 Cambodian @ 14.063878
7 Tujia @ 15.379299
8 Malay @ 18.009979
9 Yizu @ 25.752399
10 Naxi @ 27.359320
11 Tibeto-Burman_Burmese @ 30.796831
12 Japanese @ 33.219479
13 Tu @ 35.091778
14 Xibo @ 47.097458
15 Hezhen @ 48.735214
16 Uygur @ 67.791412
17 Mongolian @ 71.672363
18 Hazara @ 72.649818
19 Afghan_Hazara @ 75.497047
20 Uzbeki @ 76.846764
Using 2 populations approximation:
1 50% Vietnamese +50% Vietnamese @ 4.314429
Using 3 populations approximation:
1 50% Dai +25% Dai +25% Malay @ 3.668893
Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++
1 Cambodian + Dai + Dai + Vietnamese @ 3.596347
2 Cambodian + Dai + Dai + Dai @ 3.602433
3 Dai + Dai + Dai + Malay @ 3.668893
4 Cambodian + Dai + Dai + Lahu @ 3.725765
5 Cambodian + Dai + Dai + She @ 3.845251
6 Dai + Dai + Malay + Vietnamese @ 3.889446
7 Cambodian + Dai + Dai + Miaozu @ 3.992533
8 Cambodian + Dai + Vietnamese + Vietnamese @ 4.016091
9 Dai + Dai + Malay + She @ 4.028510
10 Dai + Dai + Lahu + Vietnamese @ 4.191967
11 Dai + Vietnamese + Vietnamese + Vietnamese @ 4.193161
12 Dai + Dai + Lahu + Malay @ 4.223368
13 Dai + Dai + Malay + Miaozu @ 4.283283
14 Vietnamese + Vietnamese + Vietnamese + Vietnamese @ 4.314429
15 Dai + Lahu + Vietnamese + Vietnamese @ 4.360450
16 Dai + Dai + Dai + Lahu @ 4.405092
17 Cambodian + Dai + Dai + Tujia @ 4.447651
18 Dai + Dai + Vietnamese + Vietnamese @ 4.454330
19 Dai + Malay + Vietnamese + Vietnamese @ 4.482750
20 Dai + Dai + Lahu + Lahu @ 4.541638
Done.
Elapsed time 7.5742 seconds.
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